• DocumentCode
    2071841
  • Title

    Battery status identification of battery management system with asynchronous sampling

  • Author

    Gu, Qiang ; Cheng, Xiusheng ; Lu, Zhonghua ; Liu, Xi ; Song, Yongdao

  • Author_Institution
    Coll. of Automotive Eng., Jilin Univ., Changchun, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    934
  • Lastpage
    937
  • Abstract
    Battery management system (BMS) which measures battery status with high accuracy has a critical effect on the performance of power battery and the entire car. To solve the problem of identification precision decreasing for the reason of BMS asynchronous sampling, the original computing method is improved by using gradient adjustment method and based on order 2 RC battery model. A simulation is performed by using Simulink, the identification results between the original computing method and improved one are compared, the precision of the latter is better than the former under the condition of current sampling time point after voltage sampling.
  • Keywords
    battery management systems; gradient methods; BMS asynchronous sampling; RC battery model; Simulink; battery management system; battery status identification; gradient adjustment method; Batteries; Battery management systems; Capacitance; Delay; Equations; Mathematical model; Resistance; Asynchronous sampling; Battery management system; Battery status identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4577-1700-0
  • Type

    conf

  • DOI
    10.1109/TMEE.2011.6199356
  • Filename
    6199356